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Modèles de taux d'intérêt (Vasicek, CIR, Nelson-Siegel)×Rétrovalidation de la Valeur à Risque (VaR)×
DomaineFinanceFinance
FamilleRegression modelRegression model
Année d'origine19771998
Auteur d'origineVasicek (1977); Nelson & Siegel (1987)Kupiec (1995); Christoffersen (1998); Engle & Manganelli (DQ test)
TypeTerm-structure / short-rate modelStatistical hypothesis tests on VaR violation sequences
Source fondatriceVasicek, O. (1977). An Equilibrium Characterization of the Term Structure. Journal of Financial Economics, 5(2), 177–188. DOI ↗Kupiec, P. H. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. The Journal of Derivatives, 3(2), 73-84. DOI ↗
Aliasterm structure models, short-rate models, yield curve models, Vasicek modelVaR backtest, Kupiec test, Christoffersen test, Dynamic Quantile test
Apparentées53
RésuméInterest rate models are structural models that describe how interest rates evolve over time within a stochastic differential equation framework. The family covers Vasicek's normal short-rate process (1977), the CIR square-root process, the adjustable Hull-White extension, and the Nelson-Siegel approach to fitting the yield curve (1987).VaR backtesting is a family of statistical tests that validate a risk model by comparing its Value-at-Risk forecasts against realised losses. It builds on Kupiec's (1995) unconditional coverage test, Christoffersen's (1998) conditional coverage test, and the Engle-Manganelli Dynamic Quantile (DQ) test.
ScholarGateJeu de données
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  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Interest Rate Models · VaR Backtesting. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare